class_docstr: A wrapper that facilitates the use of `TabularSampler` for distributed sampling.
code: def __init__(self, *args):
      self.train_id, self.d_train_id, self.sampler = args
      self.sampler = self.sampler.deferred_init(
          self.train_id, self.d_train_id
      )
  
imports: import logging
  from typing import Any, Callable, Dict, List, Optional, Tuple, Type, Union
  import numpy
  import ray
  from alibi.api.interfaces import Explanation
  from alibi.utils.discretizer import Discretizer
  from alibi.utils.mapping import ohe_to_ord
  from .anchor_base import AnchorBaseBeam
  from .anchor_tabular import AnchorTabular, TabularSampler
  from alibi.utils.distributed import ActorPool
  from functools import partial
label_desc: Use image node_id 1 to create a new RemoteSampler object  with example: obj = RemoteSampler()